Analysis method for electricity stealing behavioral mode of electricity utilization of user

An analysis method and electricity stealing technology, which is applied in data processing applications, instruments, resources, etc., can solve the problems of collecting data only by manual analysis, analyzing electricity stealing by electricity users, and achieving the goal of solving low computing efficiency and improving work efficiency Effect

Active Publication Date: 2014-09-10
STATE GRID CORP OF CHINA +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the traditional, simplistic, and conventional analysis of the risk of power theft by power users, solve the current massive collection of data and rely solely on manual analysis of basic data

Method used

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Embodiment Construction

[0037] The implementation of the present invention will be described in further detail below. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0038] A method for analyzing a user's electricity stealing behavior pattern, the method steps are as follows:

[0039] (1) User electricity consumption data collection and meter abnormal event data collection: collect user electricity consumption data and actively collect meter abnormal event data at the main station of the electricity consumption information collection system; specifically include:

[0040] ① The main station of the electricity consumption information collection system is responsible for collecting the user’s electric energy meter value and power purchase information data every day, and measuring the opening event of the electric energy meter. The electricity consumption information collection system implements two collection strategies for...

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Abstract

The invention relates to an analysis method for electricity stealing behavioral mode of user electricity utilization of a user. The analysis method comprises the steps of: (1) acquiring electricity utilization data of the user and acquiring anomalous event data of an ammeter; (2) extracting historical electricity utilization data and historical anomalous event data of the ammeter for processing; (3) cleaning the historical electricity utilization data and the historical anomalous event data of the ammeter; (4) establishing an electricity stealing behavioral analysis model; (5) correcting electricity stealing model parameters; (6) evaluating an electricity stealing risk. The analysis method is carried out under a framework of a big data platform, and mass data are calculated in parallel, so that the problem of low calculation efficiency is solved, the requirements on daily analysis, daily processing and daily monitoring of an electricity utilization department are satisfied, a clerk per se can select an electricity stealing user in high risk for processing, and therefore the work efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of user electricity analysis, in particular to an analysis method for user electricity stealing behavior patterns. Background technique [0002] The management of electricity consumption information is an important basis and data support for electricity consumption marketing. With the continuous in-depth construction of smart grids, the lean requirements for electricity consumption information management continue to increase. At present, the daily collection and daily calculation of the electricity consumption information collection system. The real-time monitoring and acquisition of data is no longer the bottleneck for solving related problems. Aiming at the daily massive data collection, how to complete effective and accurate data analysis on this basis, and then discover the problems related to power consumption, and improve the data processing level of power consumption information. At present, the dat...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
Inventor 钟珊赵宝国刘志贾培刚高伟刘军刘罡王子兴孙继科马涛张皓
Owner STATE GRID CORP OF CHINA
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